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A Scoping Literature Review of Artificial Intelligence in Epidemiology: Uses, Applications, Challenges and Future Trends
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
Artificial Intelligence (AI) has been applied to many human endeavors, and epidemiology is no exception. The AI community has recently seen a renewed interest in applying AI methods and approaches to epidemiological problems. However, a number of challenges are impeding the growth of the field. This work reviews the uses and applications of AI in epidemiology from 1994 to 2023. The following themes were uncovered: epidemic outbreak tracking and surveillance, Geo-location and visualization of epi...
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A Comparative Analysis of Generative Artificial Intelligence Tools for Natural Language Processing
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying a...
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55 Sitasi
ELECTROSTIMULATOR DESIGN BASED ON ARDUINO MEGA 2560
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 4
, No 2
(2023)
The use of medical equipment in the world of health is very much needed, one of which is an electrostimulator which can be used to help recovery in post-stroke patients. Electrostimulators can be made with several conditions, namely: controller, stimulator, and electrodes. Apart from that, there are 4 parameters needed for the electrostimulator, namely 1) Pulse Amplitude, 2) Pulse Width, 3) Pulse Shape, 4) Pulse Frequency. In this electrostimulator, it is highly recommended to use a surface elec...
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1 Sitasi
Design and Validation of Structural Causal Model: A Focus on EGRA Dataset
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Designing and validating structural causal model (SCM) correctness from a dataset whose background knowledge is obtained from a research process is not a common phenomenon. Studies have shown that in many critical areas, such as healthcare and education, researchers develop models from direct acyclic graphs (DAG), a component of an SCM, without testing them. This phenomenon is worrisome and is bound to cast a shadow on the inference estimates that may arise from such models. In this study, we ha...
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3 Sitasi
PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) UNTUK MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR BIOLOGI
RADIANT: Journal of Applied, Social, and Education Studies
Vol 1
, No 2
(2020)
Tujuan penelitian ini adalah mengoptimalkan aktivitas belajar dan hasil belajar biologi pada materi pola-pola hereditas pada mahluk hidup melalui penerapan model pembelajaran Contextual Teaching And Learning (CTL) bagi peserta didik kelas XII IPA 5 SMA Negeri 1 Bandar Sribhawono Lampung Timur pada semester genap tahun pelajaran 2018/2019. Penelitian ini dilaksanakan pada bulan Januari – Maret 2019, metode penelitian yang digunakan adalah penelitian tindakan kelas, yang terdiri dari dua s...
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